Network Detection Policy Using Load Thresholds

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Solution Overview

Problem

Current network detection and selection policies in wireless communications are overly simplistic and fail to utilize available information effectively, leading to inefficient resource usage and inadequate selection of appropriate networks, particularly in terms of load management and frequency band selection.

Innovation Solution

Incorporating load threshold and air-interface load threshold elements into network detection and selection policies, along with frequency band selection, to enable user equipment (UE) to make informed decisions based on WAN traffic load and air-interface load information, thereby optimizing network selection and load sharing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If network detection and selection policies are simplified for ease of implementation, then device complexity is reduced, but network selection precision and load management capability deteriorate

Engineering Contradiction:
Improveease of implementing network detection and selection policyVSAvoidprecision of network selection and load assessment
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The network detection and selection policy is segmented into multiple independent threshold elements (air-interface load threshold, WAN traffic load threshold, backhaul load threshold) that can be individually configured and applied. This allows the system to maintain simplicity in implementation while achieving precise network selection through the combination of multiple specialized threshold checks.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If multiple load threshold elements are incorporated into network detection policy, then network selection precision is improved, but policy complexity and device processing requirements increase

Engineering Contradiction:
Improveprecision of network selection and load assessmentVSAvoidcomplexity of network detection and selection policy
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The network detection and selection policy is designed to be dynamic, allowing thresholds to be adjusted based on network conditions and operator requirements. The policy can be updated remotely by network operators without requiring device redesign, enabling the system to adapt to changing network environments while maintaining manageable complexity through standardized update mechanisms.

Inventive Principle:
Principle #15Dynamics

3Productivity

If comprehensive load information is collected and evaluated, then network resource allocation efficiency is improved, but information processing requirements and energy consumption increase

Engineering Contradiction:
Improveefficiency of network resource allocationVSAvoidenergy consumption of UE for load information processing
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The system implements partial action by collecting and evaluating only the most critical load information elements necessary for effective network selection (air-interface load, WAN traffic load, backhaul load) rather than attempting to process all possible network parameters. This selective approach achieves sufficient resource allocation efficiency while minimizing energy consumption and processing requirements on the UE side.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentEP2839610B1System and method for network detection and selection
Publication Date: 2018.11.07 HUAWEI TECH CO LTD
  • EP2839610B1 patent drawingFigure 1~2
  • EP2839610B1 patent drawingFigure 3~4
  • EP2839610B1 patent drawingFigure 5A~5B

AI summary

An embodiment method for network detection and selection includes receiving, by a user equipment (UE), a network detection and selection policy including a load threshold element, the UE further receiving load information element from an access network (AN), and applying the network detection and selection policy to the AN.